Senior Data Engineer – Azure
Kumulus
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇧🇷 Brazil
Visit company websiteJob Level
Senior
Tech Stack
AzureETLPySparkPythonScalaSparkSQL
About the role
- Design, implement, and maintain data ingestion, processing, and storage solutions using Azure platform tools such as Azure Databricks, Azure Data Factory, Azure Data Lake, and SQL databases;
- Develop and optimize ETL (Extract, Transform, Load) workflows using PySpark to ensure data integrity and quality;
- Model and structure data efficiently to meet the organization's analytics and business intelligence needs;
- Monitor and troubleshoot data infrastructure issues, ensuring system availability and scalability.
Requirements
- Strong knowledge of Azure Databricks, Azure Data Factory, and Azure Data Lake;
- Experience developing ETL solutions and data modeling;
- Programming skills in languages such as Python, Scala, or Spark;
- Familiarity with Big Data concepts and cloud data architectures;
- Intermediate to advanced English.
Benefits
- Meal/food allowance (Flex Card)
- Wellhub
- Health insurance
- Dental insurance
- Life insurance
- Birthday day off (one day off during your birthday month)
- Childcare assistance for both men and women
- Certification reimbursement
- English Pass
- FIAP tuition partnership
- SESC benefits
- Extended paternity and maternity leave (Empresa Cidadã)
- Marriage leave
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
ETLdata modelingPySparkPythonScalaSparkdata ingestiondata processingdata storagedata integrity
Soft skills
intermediate Englishcommunication